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Lead/Principal Performance Engineer

California - San Francisco💼 Full-time💰 $172,500–$172,500🗓 2026-06-25 → 2026-07-30

Core

High-level technical leader and performance/scale subject matter expert driving innovation, designing high-scale automation frameworks, and ensuring product reliability for Salesforce's AI CRM platform.

Role type

Lead/Principal Performance Engineer

Builds

High-scale automation frameworks, traffic models, and monitoring strategies for Salesforce Agentforce.

Domain

SaaS / AI CRM / Distributed Systems

Deliverable

production ML models | infrastructure

Required skills

Java (JVM tuning, GC), Python, C, Ruby on Rails, database tuning, system optimization, throughput/latency/memory/CPU/disk/network debugging, API design, concurrency, resource efficiency, technical presentation

Preferred skills

AI tools in automation, Apache Kafka, Apache Cassandra, Apache Spark, Salesforce platform experience

Technologies

Java, Python, C, Ruby on Rails, Apache Kafka, Apache Cassandra, Apache Spark

Responsibilities

Lead performance efforts across multi-team projects by designing traffic models and implementing automation/monitoring strategies; Serve as expert in database tuning and system optimization; Rapidly build proofs of concept and lead research spikes for critical scale issues; Coach and mentor engineers and partner with product managers on performance definition

Seniority

Principal, hands-on IC with strategic influence

Rewrite
## Responsibilities - Lead performance efforts across multi-team projects by designing traffic models, establishing scale goals, and implementing sophisticated automation and monitoring strategies. - Serve as the expert in database tuning and system optimization, driving design meetings by questioning implementation choices and proposing high-performance alternatives. - Rapidly build proofs of concept and lead research spikes to test ideas and address critical scale issues through rapid prototyping and fast iteration. - Coach and mentor engineers at all levels, lead code and design reviews, and partner with product managers to ensure performance is a core part of the definition of done. ## Requirements - 10+ years of experience as a software engineer or developer building platforms and applications at massive scale, including hands-on automation development. - Expert-level proficiency in Java, including Java Virtual Machine (JVM) performance tuning and Garbage Collection (GC) mechanisms, along with experience in Python, C, or Ruby on Rails. - Deep understanding of key performance metrics across throughput, latency, memory, central processing unit (CPU), disk, and network — with the ability to debug and resolve bottlenecks across all of them. - Strong communicator with a proven track record in Application Programming Interface (API) design, concurrency, resource efficiency, and the ability to present technical findings clearly to both engineers and executives. ## Nice to Have - Professional experience applying AI tools in automation or performance engineering contexts. - Familiarity with distributed data and transport systems such as Apache Kafka, Apache Cassandra, or Apache Spark. - Salesforce platform experience or Salesforce certifications. - A related technical degree. ## Benefits - Hybrid schedule of 1-3 days per week in office. - Access to AI agents that accelerate impact. - Equal opportunity employer with inclusive workplace policies. - Benefits and resources to support work-life balance. - Opportunities for career growth and innovation.
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